Triple

T6956109
Position Surface form Disambiguated ID Type / Status
Subject Danai Gurira E161246 entity
Predicate placeOfBirth P1 FINISHED
Object Grinnell, Iowa, United States E238039 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Grinnell, Iowa, United States | Statement: [Danai Gurira, placeOfBirth, Grinnell, Iowa, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grinnell, Iowa, United States
Context triple: [Danai Gurira, placeOfBirth, Grinnell, Iowa, United States]
  • A. Grinnell, Iowa chosen
    Grinnell, Iowa is a small city in central Iowa best known as the home of Grinnell College, a highly regarded liberal arts institution.
  • B. Greeley, Iowa
    Greeley, Iowa is a small rural town in Delaware County in northeastern Iowa.
  • C. Denison, Iowa, United States
    Denison, Iowa, United States is a small Midwestern city in Crawford County known as the birthplace of climate scientist James Hansen and for its agricultural and railroad heritage.
  • D. Greenfield, Iowa
    Greenfield, Iowa is a small city in southwestern Iowa known as the administrative and commercial hub of Adair County.
  • E. Oskaloosa, Iowa
    Oskaloosa, Iowa is a small city in southeastern Iowa known for its historic downtown, rich coal-mining heritage, and role as a regional commercial and cultural center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dacf8c8c8190a25dbacebeb4b66e completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75888d48c81908a8dbd16d7591b55 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.